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Research articles

ScienceAsia 50 (2024):ID 2024053 1-7 |doi: 10.2306/scienceasia1513-1874.2024.053

Optimization of adsorption process by aluminum dross for treatment of cutting oil wastewater

Warangkana Srimokea,b,c, Vorapot Kanokkantapongd,e,*, Nuta Supakatad,e, Wanida Limmunf

ABSTRACT:      This research employed untreated aluminum dross obtained from auto parts manufacturing waste as an adsorbent to meet the sustainable goals of waste utilization in readily available, inexpensive, and environmentally friendly materials to treat cutting oil wastewater in auto parts manufacturing. Aluminum dross, categorized as white dross with 37.13% aluminum and 7.77% silicon, is a source of silicon- and aluminum-containing wastes. Process optimization was conducted using a central composite rotary design (CCRD) coupled with response surface methodology (RSM). The results indicated that the adsorption of aluminum dross at optimum conditions was 15 g adsorbed from 1% v/v cutting oil wastewater at pH 2 in 60 minutes, achieving the removal efficiency at 93.30% of chemical oxygen demand (COD), 88.33% of turbidity, and only 40.47% of total organic carbon (TOC). The second-order equation demonstrated coefficients of determination (R 2 ) and adjusted R 2 values of 0.9738 and 0.9345, respectively, for COD removal. The COD adsorbed on aluminum dross could be adequately explained using the pseudo -secondorder kinetic and Langmuir models. Aluminum dross adsorption for cutting oil treatment has a low operating cost of 0.5398 USD/m3 .

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a International Postgraduate Program in Hazardous Substance and Environmental Management, Graduate School, Chulalongkorn University, Bangkok 10330 Thailand
b Center of Excellence on Hazardous Substance Management (HSM), Chulalongkorn University, Bangkok 10330 Thailand
c Department of Environmental Health, School of Public Health, Walailak University, Nakhon Si Thammarat 80160 Thailand
d Department of Environmental Science, Faculty of Science, Chulalongkorn University, Bangkok 10330 Thailand
e Waste Utilization and Ecological Risk Assessment Research Unit, Chulalongkorn University, Bangkok 10330 Thailand
f Department of Mathematics and Statistics, School of Science, Walailak University, Nakhon Si Thammarat 80160 Thailand

* Corresponding author, E-mail: vorapot.ka@chula.ac.th

Received 12 Feb 2023, Accepted 18 Apr 2024